# Copyright (c) 2023 PaddlePaddle Authors. All Rights Reserved.
# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# import unittest
# from pathlib import Path
# from tempfile import TemporaryDirectory
# from unittest.mock import Mock, patch

# import ppdiffusers.utils.hub_utils

# TODO test model card
# class CreateModelCardTest(unittest.TestCase):
#     @patch("ppdiffusers.utils.hub_utils.get_full_repo_name")
#     def test_create_model_card(self, repo_name_mock: Mock) -> None:
#         repo_name_mock.return_value = "full_repo_name"
#         with TemporaryDirectory() as tmpdir:
#             args = Mock()
#             args.output_dir = tmpdir
#             args.local_rank = 0
#             args.hub_token = "hub_token"
#             args.dataset_name = "dataset_name"
#             args.learning_rate = 0.01
#             args.train_batch_size = 100000
#             args.eval_batch_size = 10000
#             args.gradient_accumulation_steps = 0.01
#             args.adam_beta1 = 0.02
#             args.adam_beta2 = 0.03
#             args.adam_weight_decay = 0.0005
#             args.adam_epsilon = 1e-06
#             args.lr_scheduler = 1
#             args.lr_warmup_steps = 10
#             args.ema_inv_gamma = 0.001
#             args.ema_power = 0.1
#             args.ema_max_decay = 0.2
#             args.mixed_precision = True
#             ppdiffusers.utils.hub_utils.create_model_card(
#                 args, model_name="model_name")
#             self.assertTrue((Path(tmpdir) / "README.md").is_file())
